EAGER: Efficient Pricing for Dynamic Resource Allocation in Transportation Systems

该奖项是根据2009年美国复苏和再投资法案资助的。探索性研究早期概念拨款（EAGER）项目将为交通系统开发动态资源分配模型。重点将是回答这样一个问题，即如何为交通网络制定定价方案，使个人激励与社会对交通网络的最佳利用相一致。尽管人们对交通网络的定价和管理给予了极大的关注，但最广泛使用的交通平衡模型仍然是静态的。向智能交通系统的转变需要一类新的交通模型，其中动态行为是一阶建模要求。这个EAGER项目将为智能交通系统中有效的动态资源分配制定可处理的定价方案。信息技术的最新创新为交通运输系统的潜在研究开辟了一个新的前沿领域。信息技术使司机能够获得交通状况的实时更新，以及在飞行中重新配置他们的路线选择。另一方面，同样的信息技术选项使运输系统的网络化控制成为可能。通过向驾驶员提供智能反馈，交通系统设计者希望控制驾驶员。个人决定和鼓励和谐和有效的整体使用道路。

This award is funded under the American Recovery and Reinvestment Act of 2009.This Early Concept Grants for Exploratory Research (EAGER) project will develop dynamic resource allocation models for transportation systems. The focus will be on answering the question as to how should pricing schemes be developed for transportation networks to align individual incentives with socially optimal use of the network. Despite a tremendous amount of attention to transportation network pricing and management, the most widely-used models for traffic equilibrium remain static. The shift to intelligent transportation systems necessitates a new class of traffic models, where dynamic behavior is a first order modeling requirement. This EAGER project will develop tractable pricing schemes for efficient dynamic resource allocation in intelligent transportation systems. Recent innovations in information technology have opened the door to a new frontier of potential research in transportation systems. Information technology enables drivers to obtain real-time updates on traffic conditions, as well as to reconfigure their route choices on the fly. On the other hand, the same information technology options enable a new breed of networked control for transportation systems. By providing intelligent feedback to drivers, transportation system designers hope to control drivers? individual decisions and encourage harmonious and efficient overall use of the roadways.